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ModelScale

Multimodal & Grounded benchmark

Liquid Extract VLM Judge leaderboard

Liquid image-to-JSON extraction VLM judge score. Every model the catalog carries a published Liquid Extract VLM Judge value for, ranked by that value.

CategoryMultimodal & Grounded
MeasureVLM-judged extraction accuracy
TasksImage-to-JSON extraction
DifficultyStructured visual extraction

A display-only Liquid AI extraction metric measuring judged agreement between extracted values and the source image.

Liquid Extract VLM Judge ranking

2 models with a published Liquid Extract VLM Judge value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.

Models ranked by their published Liquid image-to-JSON extraction VLM judge score value
RankModelProviderVLM-judged extraction accuracy
1LFM2.5-VL-1.6B-ExtractLiquidAI90.6
2LFM2.5-VL-450M-ExtractLiquidAI84.5

Evidence key: Observed

Rows are ordered by the value LiquidAI LFM2.5-VL Extract model cards published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.

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